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Separating fact from fiction in a world of AI fairytales - Jodie Burchell - NDC London 2024
Join Jodie Burchell as she cuts through the hype surrounding AI and separates fact from fiction. She argues that large language models are not intelligent, but rather complex systems, and that overhyping their abilities can have negative consequences.
- The definition of intelligence in humans and machines is different.
- Large language models are not intelligent, they are just complex systems that can perform certain tasks.
- The idea of separating fact from fiction in AI is important because models are often biased and can hallucinate.
- Chalet’s paper on universality and artificial general intelligence (AGI) is flawed and should be reevaluated.
- Large language models can be useful, but they have limitations and should not be overhyped.
- The concept of AGI is still a topic of debate and discussion.
- The Turing test is not a reliable measure of intelligence.
- The ARKathon competition is a good example of how to measure the performance of AI systems.
- Large language models are not capable of true creativity and may be able to generate novel images or text, but it’s not intelligent behavior.
- Autocomplete systems can be very effective and may be used to complete tasks, but they are not intelligent.
- The concept of broad generalization is still unclear and should be reevaluated.
- The SPARKs paper is a good example of how to assess the abilities of a system.
- Universal reasoning is still an open question in the field of AI.
- The idea of a silver bullet solution to AGI is still a topic of debate.
- The concept of human-like intelligence is still unclear and should be reevaluated.
- The ARKathon competition is a good example of how to measure the performance of AI systems.
- The concept of intelligence in machines and humans is still unclear and should be reevaluated.